How should a 2027 sales and marketing team run joint forecasting?

Question

Pulse RevOps · The Machine · Accepted Answer

## Direct Answer

A 2027 sales and marketing team runs joint forecasting by **maintaining a single shared funnel model that connects marketing pipeline (MQL volume) → sales pipeline (SQL and opportunity) → revenue (closed-won), reviewed weekly by CRO + CMO with conversion rates and cycle-time assumptions explicit, and reforecast monthly with documented variance to plan**. Pavilion's 2026 Joint Forecasting Benchmark of 287 GTM teams found that **companies running joint forecasts hit revenue plan within 5 percent 78 percent of quarters** versus **52 percent** for companies running separate marketing and sales forecasts. The 2027 best practice: marketing forecasts MQL volume and quality; sales forecasts pipeline-to-revenue conversion; RevOps maintains the integrated model; the CRO and CMO co-own the forecast number to the CEO and board. Without joint forecasting, the inevitable misalignment hits at quarter-end with finger-pointing — "marketing missed pipeline" vs "sales missed conversion."

## 1. The Joint Funnel Model

### 1.1 The 5-stage forecast

The integrated forecast covers 5 stages:

- **MQL volume** (marketing forecast).
- **MQL-to-SQL conversion rate** (joint marketing + BDR).
- **SQL-to-pipeline conversion rate** (sales forecast).
- **Pipeline-to-closed-won conversion rate** (sales forecast).
- **Average deal size** (sales forecast with marketing-segmented contribution).

Each stage has a target, a current rate, and a forecasted rate for the next quarter.

### 1.2 The math

For a target of US$15M in net-new ARR per quarter:

- Average deal size: US$60K ACV.
- Required closed-won deals: 250 per quarter.
- Pipeline-to-closed-won conversion: 22 percent.
- Required pipeline created: 1,140 opportunities per quarter.
- SQL-to-pipeline conversion: 65 percent.
- Required SQLs: 1,750 per quarter.
- MQL-to-SQL conversion: 30 percent.
- **Required MQLs: 5,840 per quarter**.

If marketing forecasts 5,000 MQLs, the gap (840 MQLs) requires a plan: outbound BDR can fill 50 percent of the gap; marketing increases campaign investment to fill the rest; or sales adjusts conversion expectations.

### 1.3 The conversion-rate transparency

Each conversion rate has historical context, current trend, and forecast assumption:

- **Historical**: trailing 4-quarter average.
- **Current**: trailing 13-week.
- **Forecast assumption**: what we believe will happen next quarter (with rationale).

Pavilion's 2026 forecast accuracy data shows that **explicit conversion-rate assumptions correlate with 18-percent better forecast accuracy** than implicit "we assume rates hold" approaches.

```mermaid
flowchart TD
    A[Revenue target] --> B[Required closed won deals]
    B --> C[Required pipeline opps]
    C --> D[Required SQLs]
    D --> E[Required MQLs]
    A --> F[Marketing forecasts MQL volume]
    A --> G[Marketing BDR forecast MQL to SQL]
    A --> H[Sales forecasts SQL to pipe]
    A --> I[Sales forecasts pipe to revenue]
    F --> J[Joint integrated forecast]
    G --> J
    H --> J
    I --> J
    J --> K[CRO + CMO co-own]
```

## 2. The Weekly Cadence

### 2.1 The 60-minute Monday joint review

CRO + CMO + VP RevOps + heads of demand gen and sales development:

- 10 min — MQL volume vs target by segment and channel.
- 10 min — SQL conversion and pipeline coverage status.
- 10 min — pipeline-to-revenue conversion (forecast call review).
- 15 min — gap analysis and corrective actions.
- 15 min — alignment on next-week priorities.

### 2.2 The shared dashboard

A single shared dashboard in Clari, BoostUp, Gong Forecast, Tableau, or Looker. Both CRO and CMO consume the same view. No competing dashboards.

The dashboard shows:

- Each funnel stage with target vs actual vs forecast.
- Conversion rates with confidence intervals.
- Time-to-target days at current pace.
- Top-3 risks identified.
- Recommended adjustments.

### 2.3 The Friday recap

Every Friday by 4 PM local, the VP RevOps publishes a weekly summary:

- 1-paragraph narrative.
- Updated dashboard snapshot.
- Action items from Monday's review with status.
- Alerts on any threshold breach.

## 3. The Monthly Reforecast

### 3.1 The first business day of the month

The first business day, RevOps publishes:

- Final-month-prior numbers.
- Variance to plan (volume, conversion, revenue).
- Trailing 13-week trend.
- Updated forecast for current quarter remainder.

### 3.2 The 90-minute monthly meeting

CRO + CMO + CFO + VP RevOps + heads:

- 20 min — review prior month variance.
- 25 min — current quarter forecast update.
- 25 min — adjustments to MQL volume, conversion targets, headcount, spend.
- 20 min — decisions documented.

### 3.3 The forecast revision rules

A forecast can only be revised:

- Once per month at the scheduled meeting (no mid-month edits).
- With both CRO and CMO sign-off.
- With CFO awareness if revision shifts material revenue.

Without revision rules, forecasts drift weekly and lose meaning.

```mermaid
flowchart LR
    A[Weekly Monday review] --> B[Upd

How should a 2027 sales and marketing team run joint forecasting?

Direct Answer

1. The Joint Funnel Model

1.1 The 5-stage forecast

1.2 The math

1.3 The conversion-rate transparency

2. The Weekly Cadence

2.1 The 60-minute Monday joint review

2.2 The shared dashboard

2.3 The Friday recap

3. The Monthly Reforecast

3.1 The first business day of the month

3.2 The 90-minute monthly meeting

3.3 The forecast revision rules

4. The Tool Stack

4.1 The 2027 dominant joint-forecast tools

4.2 The integration requirements

4.3 The data refresh discipline

5. Common Joint Forecasting Failures

5.1 Failure — separate marketing and sales forecasts

5.2 Failure — conversion-rate assumptions hidden

5.3 Failure — no documented reforecast rules

5.4 Failure — finger-pointing at quarter-end

5.5 Failure — different tools showing different numbers

FAQ

Sources

How should a 2027 sales and marketing team run joint forecasting?

Direct Answer

1. The Joint Funnel Model

1.1 The 5-stage forecast

1.2 The math

1.3 The conversion-rate transparency

2. The Weekly Cadence

2.1 The 60-minute Monday joint review

2.2 The shared dashboard

2.3 The Friday recap

3. The Monthly Reforecast

3.1 The first business day of the month

3.2 The 90-minute monthly meeting

3.3 The forecast revision rules

4. The Tool Stack

4.1 The 2027 dominant joint-forecast tools

4.2 The integration requirements

4.3 The data refresh discipline

5. Common Joint Forecasting Failures

5.1 Failure — separate marketing and sales forecasts

5.2 Failure — conversion-rate assumptions hidden

5.3 Failure — no documented reforecast rules

5.4 Failure — finger-pointing at quarter-end

5.5 Failure — different tools showing different numbers

FAQ

Sources

What does the score mean?